ML Workshop 3: Machine Learning in Production

"This third deep dive workshop in our machine learning logistics webinar series focuses on how to better manage models in production in real world business settings. The workshop will show how key design characteristics of Rendezvous Architecture makes it easier to manage many models simultaneously and to safely roll-out to production, how to achieve scaling and what the limitations for Rendezvous are.

Ted Dunning covers the role of containerization for models, serverless model deployment, how speculative execution works and when to use it, how to fold in the requirements of SLAs for practical business value from machine learning, and how the rendezvous architecture can deliver reliability in production. Ted will explain how these methods for machine learning management play out in a range of case histories such as retail analytics, fraud scoring, ad scoring and recommendation."